Marta Yebra

According to our database, Marta Yebra authored at least 29 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Examining the Transferability of Remote-Sensing-Based Models of Live Fuel Moisture Content for Predicting Wildfire Characteristics.

Edna Guk, Avi Bar Massada, Marta Yebra, Gianluca Scortechini, Noam Levin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Improving wildfire occurrence modelling by integrating time-series features of weather and fuel moisture content.

Xingwen Quan, Wenli Wang, Qian Xie, Binbin He, Víctor Resco de Dios, Marta Yebra, Miao Jiao, Rui Chen

Environ. Model. Softw., December, 2023

IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities.

Chiu Chun Chan, Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani, Nicholas Wilson, Marta Yebra

CoRR, 2023

2022

RADAR-Vegetation Structural Perpendicular Index (R-VSPI) for the Quantification of Wildfire Impact and Post-Fire Vegetation Recovery.

Aakash Chhabra, Christoph Rüdiger, Marta Yebra, Thomas Jagdhuber, James Hilton

Remote. Sens., 2022

Multi-modal temporal CNNs for live fuel moisture content estimation.

Lynn Miller, Liujun Zhu, Marta Yebra, Christoph Rüdiger, Geoffrey I. Webb

Environ. Model. Softw., 2022

2021

Relationships between Burn Severity and Environmental Drivers in the Temperate Coniferous Forest of Northern China.

Changming Yin, Minfeng Xing, Marta Yebra, Xiangzhuo Liu

Remote. Sens., 2021

Modelling wildfire occurrence at regional scale from land use/cover and climate change scenarios.

Lara Vilar, Sixto Herrera, E. Tafur-García, Marta Yebra, Javier Martinez-Vega, Pilar Echavarría, María Pilar Martín

Environ. Model. Softw., 2021

Global trends in vegetation seasonality in the GIMMS NDVI3g and their robustness.

Wentao Ye, Albert I. J. M. van Dijk, Alfredo Huete, Marta Yebra

Int. J. Appl. Earth Obs. Geoinformation, 2021

Global fuel moisture content mapping from MODIS.

Xingwen Quan, Marta Yebra, David Riaño, Binbin He, Gengke Lai, Xiangzhuo Liu

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

Remote Sensing of Burn Severity Using Coupled Radiative Transfer Model: A Case Study on Chinese Qinyuan Pine Fires.

Changming Yin, Binbin He, Xingwen Quan, Marta Yebra, Gengke Lai

Remote. Sens., 2020

Correction: Wang, L., et al. Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. Remote Sensing 2019, 11(13), 1568.

Long Wang, Xingwen Quan, Binbin He, Marta Yebra, Minfeng Xing, Xiangzhuo Liu

Remote. Sens., 2020

Investigating Live Fuel Moisture Content Estimation in Fire-Prone Shrubland from Remote Sensing Using Empirical Modelling and RTM Simulations.

Eva Marino, Marta Yebra, Mariluz Guillén-Climent, Nur Algeet, José Luis Tomé, Javier Madrigal, Mercedes Guijarro, Carmen Hernando

Remote. Sens., 2020

A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models.

Mariano García, David Riaño, Marta Yebra, Javier Salas, Adrián Cardil, Santiago Monedero, Joaquín Ramírez, M. Pilar Martín, Lara Vilar, John Gajardo, Susan L. Ustin

Remote. Sens., 2020

Assessment of generalized allometric models for aboveground biomass estimation: A case study in Australia.

Li Liu, Samsung Lim, Xuesong Shen, Marta Yebra

Comput. Electron. Agric., 2020

2019

Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation.

Long Wang, Xingwen Quan, Binbin He, Marta Yebra, Minfeng Xing, Xiangzhuo Liu

Remote. Sens., 2019

A multiscale morphological algorithm for improvements to canopy height models.

Li Liu, Samsung Lim, Xuesong Shen, Marta Yebra

Comput. Geosci., 2019

A hybrid method for segmenting individual trees from airborne lidar data.

Li Liu, Samsung Lim, Xuesong Shen, Marta Yebra

Comput. Electron. Agric., 2019

Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data.

Changming Yin, Binbin He, Marta Yebra, Xingwen Quan, Andrew C. Edwards, Xiangzhuo Liu, Zhanmang Liao, Kaiwei Luo

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Evaluating the Sentinel-2a Satellite Data for Fuel Moisture Content Retrieval.

Qidi Shu, Xingwen Quan, Marta Yebra, Xiangzhuo Liu, Long Wang, Yang Zhang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Estimation of Forest Structure with the Vegetation Structure Perpendicular Index (VSPI) for Dynamic Fire Spread Simulations.

Andrea Massetti, Christoph Rüdiger, Marta Yebra, James E. Hilton

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data.

Xiangzhuo Liu, Binbin He, Xingwen Quan, Marta Yebra, Shi Qiu, Changming Yin, Zhanmang Liao, Hongguo Zhang

Remote. Sens., 2018

Mapping Live Fuel Moisture Content and Flammability for Continental Australia Using Optical Remote Sensing.

Marta Yebra, Xingwen Quan, David Riaño, Pablo Rozas Larraondo, Albert I. J. M. van Dijk, Geoff J. Cary

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Retrieval of Fuel Moisture Content from Himawari-8 Product: Towards Real-Time Wildfire Risk Assessment.

Xingwen Quan, Binbin He, Marta Yebra, Xiangzhuo Liu, Xiaofang Liu, Xiaodong Zhang, Hui Cao

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

The Vegetation Structure Perpendicular Index for Wildfire Severity and Forest Recovery Monitoring.

Andrea Massetti, Christoph Rüdiger, Marta Yebra, James E. Hilton

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Retrieval of forest fuel moisture content using a coupled radiative transfer model.

Xingwen Quan, Binbin He, Marta Yebra, Changming Yin, Zhanmang Liao, Xing Li

Environ. Model. Softw., 2017

Development of a predictive model for estimating forest surface fuel load in Australian eucalypt forests with LiDAR data.

Yang Chen, Xuan Zhu, Marta Yebra, Sarah Harris, Nigel Tapper

Environ. Model. Softw., 2017

A radiative transfer model-based method for the estimation of grassland aboveground biomass.

Xingwen Quan, Binbin He, Marta Yebra, Changming Yin, Zhanmang Liao, Xueting Zhang, Xing Li

Int. J. Appl. Earth Obs. Geoinformation, 2017

2016

Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification.

Suzanne M. Marselis, Marta Yebra, Tom Jovanovic, Albert I. J. M. van Dijk

Environ. Model. Softw., 2016

2009

Generation of a Species-Specific Look-Up Table for Fuel Moisture Content Assessment.

Marta Yebra, Emilio Chuvieco

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2009